Artificial intelligence helps scientists detect cancer early.

Artificial intelligence helps scientists detect cancer early.

London _ Agencies

British scientists have succeeded in predicting the emergence and development of cancerous tumors, using artificial intelligence, which is a promising way in a more effective treatment of cancer patients, according to the BBC, on Monday, the Cancer Research Institute in London, in collaboration with the University of Edinburgh, England.

The study, dubbed by scientists as the name "Revulver" or "recurrent development of cancer", relies on the transformation of DNA by cancerous tumors, and the use of results that appear in predicting potential changes.

The constant change of cancerous tumors is the biggest challenge that researchers have faced in cancer treatment, as cancerous tumors often evolve from changing the DNA of the cells and thus their ability to resist medications.

The new method transmits information on tumor patterns among patients with the same type of tumor.

The researchers used 768 samples of cancerous tumors from 178 patients with lung, breast, kidney and bladder cancers, followed the changes in each tumor accurately and analyzed these samples according to the category of cancer to which each sample belonged.

It is likely that repetitive patterns can be identified and compared with available information on the development of cancer, scientists, to predict the way the tumor develops in the future.

Through the new method, doctors are likely to be able to stop the development of cancer before it becomes resistant to drugs, as they come up with accurate forecasts of how the tumor develops, which increases the chances of recovery. If specific tumors succeed in developing resistance to treatment, researchers will be able to predict whether the patient´s injury will develop in the same way in the future.

"Our development and strong reliance on artificial intelligence can provide predictions of future steps to develop tumors, based on specific models of genetic mutations that are still hidden amid a huge amount of complex data," said research team leader Andrea Sutoreva.

"This method will help confront cancer, especially in light of the prevailing fact that cancer is unpredictable, which means we are powerless to predict what can happen," Sosureev said.

"By developing this technique based on artificial intelligence, we can get a futuristic look at the next step of cancer," he added.

According to the World Health Organization (WHO), cancer is one of the most preventable causes of death around the world, with about 13 per cent of the world´s total population deaths annually.

The most prominent cancers that cause death are lung, stomach, liver, colon, breast and cervical cancers, in most cases occurring each year.